Data Analyst (Experienced)

Tasks

• Work closely with Product and Engineering to design, build, and iterate on a new data insights product for operators. Prioritizing clarity, actionability, and minimal noise
• Translate our domain model (trips, revenue, availability, tasks, operational workflows) into intuitive, connected insights customers can act on
• Own key data modeling and data quality improvements: collaborate with engineering to update preprocessing scripts and expose clean, analysis-ready data in Snowflake
• Build ThoughtSpot worksheets and Liveboards (or equivalent BI artifacts) that drive operator decisions, while keeping the layer simple and maintainable
• Establish data contracts and documentation for core metrics (trip success, availability, task SLAs, billing events, etc.)
• Support internal operational workflows, including the monthly customer billing process (active vehicle counts, usage-based metrics), and progressively automate it
• Partner with Customer Success to validate insight usefulness and feed learnings back into the product

Requirements

What success looks like

90 days

• Understand core domains: trips, revenues, availability, tasks, billing, and fleet access
• Ship first operator-facing insights with validated usefulness (action taken by CS or by operators)
• Identify data gaps and propose improvements to preprocessing models / Snowflake schema
• Stabilize and document the monthly billing data flow

6 months

• Deliver a cohesive set of insights used by operators weekly to improve revenues, availability, reduce operational toil, or increase trip success
• Improve data quality and reliability by updating preprocessing scripts together with Engineering; reduce manual data stitching
• Fully automate or significantly streamline monthly billing
• Publish a metric framework and data dictionary for the insights product

Core KPIs

• Accuracy and reliability of the insights surfaced to customers
• Adoption and engagement with delivered dashboards / insights
• Reduction in manual data work across Product, CS, and operators
• Accuracy and timeliness of monthly billing data
• Contribution to data model improvements (Snowflake, preprocessing scripts)

Requirements

• 3–5+ years experience as a Data Analyst or Analytics Engineer in a SaaS or operationally complex domain
• Strong SQL and data modeling skills; Snowflake experience is a plus (ability to collaborate on preprocessing scripts is expected)
• Ability to understand and translate business logic into clean, connected data models
• Experience with BI tools like ThoughtSpot, Looker, Tableau, etc. (ThoughtSpot is a plus but not required)
• Clear communication and structured thinking. You can explain metric definitions and trade-offs to product managers, engineers, and operators
• Bias for simplicity: you produce fewer, higher-value insights rather than dashboards for dashboards’ sake
• Experience working with operational teams and supporting recurring internal processes (e.g., billing, revenue reporting, operational metrics)

Benefits

• Direct ownership of a new operator-facing insights product with immediate customer impact
• Influence our data model and pipeline design at the foundation level
• 25 days paid vacation
• 30-day workation once per year
• Hybrid work model: 3 days (Monday, Wednesday, Thursday) in our Banja Luka office, 2 days remote
• Travel for team workshops or operator sessions as needed

Ready to build the data backbone that powers shared mobility operations worldwide? Apply now.